विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| गैस क्रोमैटोग्राफी-ओल्फेक्टोमेट्री× | इलेक्ट्रॉनिक नोज× | टेक्सचर प्रोफाइल एनालिसिस× | |
|---|---|---|---|
| क्षेत्र | खाद्य विज्ञान | खाद्य विज्ञान | खाद्य विज्ञान |
| परिवार | Process / pipeline | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1997 | 1982 | 1968 |
| प्रवर्तक≠ | Terry Acree | Krishna Persaud | Malcolm Bourne |
| प्रकार≠ | Sensory-Instrumental Coupling | Chemical Sensing Device | Mechanical Texture Method |
| मौलिक स्रोत≠ | Acree, T. E. (1997). GC/Olfactometry. Analytical Chemistry, 69(5), 170A-175A. link ↗ | Persaud, K., & Dodd, G. (1982). Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature, 299(5881), 352-355. DOI ↗ | Bourne, M. C. (1968). Texture profile of foods. Journal of Food Science, 33(3), 280-283. link ↗ |
| उपनाम≠ | GC-O | e-Nose, artificial olfaction | TPA |
| संबंधित | 3 | 3 | 3 |
| सारांश≠ | Gas Chromatography-Olfactometry (GC-O) combines the separation power of gas chromatography with human olfactory perception to identify which volatile compounds in a food sample contribute to its aroma. Developed by Acree and colleagues in the 1990s, GC-O allows researchers to bypass the human nose's inability to consciously identify which of many simultaneous odors they are perceiving, replacing the 'olfactory bulb' with a trained human panelist. | An electronic nose (e-nose) is an instrumental analytical device that mimics the mammalian olfactory system to detect and identify volatile organic compounds (odors) in food products. Developed by Persaud and Dodd in 1982, e-noses use arrays of non-selective chemical sensors combined with pattern recognition algorithms to create electronic signatures of food aromas, enabling objective, rapid quality assessment and shelf-life prediction. | Texture Profile Analysis (TPA) is an objective, mechanical method that simulates mastication (chewing) to measure the textural properties of food products. Developed by Bourne in 1968, TPA uses a texture analyzer (a machine that applies defined forces and movements to a sample) to generate a force-time curve from which multiple texture attributes (hardness, springiness, chewiness, cohesiveness, adhesiveness) are extracted and quantified. |
| ScholarGateडेटासेट ↗ |
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